Christopher K. Wikle
Impact in
- Environmental Engineering top 0.5%
- Soil Geostatistics and Mapping
- Ecological Modeling top 1%
- Species Distribution and Climate Change
Papers in
-
- Soil Geostatistics and Mapping 34
-
- Climate variability and models 30
- Hydrology and Drought Analysis 8
- Co-authors
- Noel CressieL. Mark BerlinerMevin B. HootenJ. Andrew RoyleScott H. HolanRalph F. MilliffJay M. Ver HoefCatherine A. Calder
- Journals
- Journal of Agricultural Biological and Environmental Statistics (11 papers)Environmetrics (9 papers)Journal of the American Statistical Association (7 papers)Spatial Statistics (7 papers)The Annals of Applied Statistics (5 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Christopher K. Wikle
140 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Environmental Engineering 1.7k
- Ecological Modeling 456
- Global and Planetary Change 1.8k
- Statistics and Probability 696
- Nature and Landscape Conservation 757
Countries citing papers authored by Christopher K. Wikle
This map shows the geographic impact of Christopher K. Wikle's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christopher K. Wikle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher K. Wikle more than expected).
Fields of papers citing papers by Christopher K. Wikle
This network shows the impact of papers produced by Christopher K. Wikle. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christopher K. Wikle. The network helps show where Christopher K. Wikle may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher K. Wikle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 12 | |
| 14 | 2022 | 13 | |
| 15 | 2020 | 16 | |
| 16 | 2020 | 13 | |
| 17 | 2018 | 0 | |
| 18 | Hierarchical (Deep) Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting. | 2018 | 2 |
| 19 | 2009 | 403 | |
| 20 | 2005 | 1 |
About Christopher K. Wikle
Christopher K. Wikle is a scholar working on Environmental Engineering, Global and Planetary Change, Statistics and Probability, Atmospheric Science and Oceanography, having authored 149 papers that have together received 6.0k indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (34 papers), Climate variability and models (30 papers), Meteorological Phenomena and Simulations (30 papers), Spatial and Panel Data Analysis (24 papers), Oceanographic and Atmospheric Processes (15 papers), Statistical Methods and Bayesian Inference (15 papers), Hydrology and Drought Analysis (8 papers) and Economic and Environmental Valuation (8 papers). The work is most often cited by research in Environmental Engineering (1.7k citations), Ecological Modeling (456 citations), Global and Planetary Change (1.8k citations), Statistics and Probability (696 citations) and Nature and Landscape Conservation (757 citations). Christopher K. Wikle has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Noel Cressie, L. Mark Berliner, Mevin B. Hooten, J. Andrew Royle, Scott H. Holan, Ralph F. Milliff, Jay M. Ver Hoef, Catherine A. Calder, James S. Clark and Andrew Zammit‐Mangion. Their work appears in journals such as Journal of Agricultural Biological and Environmental Statistics, Environmetrics, Journal of the American Statistical Association, Spatial Statistics and The Annals of Applied Statistics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.